. 2021 Mar 25;15:662674. doi: 10.3389/fnins.2021.662674

TABLE 7.

Parameter setting of various algorithms based on grid search.

Algorithm	Parameter setting range
FCM	Fuzzy factor m = {1.05,1.1,1.2,1.3,1.4,1.5,1.6,1.7,1.8,1.9,2}
CoFKM	Fuzzy factor m = {1.05,1.1,1.2,1.3,1.4,1.5,1.6,1.7,1.8,1.9,2}, collaborative learning parameters η = [0,(K−1)/K], K is the number of views
TW-k-means	Regularization parameters λ = {1,2,…,30} and η = {10,20,…,100}
CombKM	None
Coclustering	Regularization parameter λ = {1,10,100,300,500,800,1000}, regularization parameter μ = {1,10,100,300,500,800,1000}, feature category number m = ⌊d/2⌋, d is the characteristic number, ⌊⌋ means rounding down.
IMV-FCM	Fuzzy factor m = {1.05,1.1,1.2,1.3,1.4,1.5,1.6,1.7,1.8,1.9,2} Regularization parameters γ = {2⁻¹²,2⁻¹¹,…,2¹²}